Abstract
Natural selection has produced instinctive behaviors through the slow and gradual accumulation of numerous slight, yet advantageous variations. The result is automation, a behavior that is second nature. This is called the Baldwin Effect. This principle can be applied to both humans and machines. In order to enable a machine to learn as efficiently as a human or animal, we need to understand primitive learning processes within humans, animals, and even insects. In this chapter, we explore primitive learning behaviors, including perceptual adaptive learning, peak-shift, lateral learning, learn-by-tapping, and indirect learning from virtual experiences, such as playing or gaming.
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Cai, Y. (2016). Primitive Learning. In: Instinctive Computing. Springer, London. https://doi.org/10.1007/978-1-4471-7278-9_5
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DOI: https://doi.org/10.1007/978-1-4471-7278-9_5
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